该算法利用改进的二叉区间树有效组织中间数据，降低计算的复杂度。
Besides, an enhanced interval tree is used to manage and organize the intermediate data so as to reduce the computation complexity.
考虑了在带区间数据的不确定网络中，最小风险和模型以及最小最大风险模型下的斯坦纳树问题。
Based on the models of minimum risk sum and minimum maximum risk, this paper is concerned with the minimum Steiner tree problems in uncertain networks with interval data.
为了符合应用，关于时间的模型从离散的自然数和整数，延伸到稠密的线性实数，甚至扩展到区间代数和树代数。
The underlying model of time appropriate to the application can range from discrete natural numbers and integers to dense linear real numbers or to algebras of intervals and trees.
针对配电网故障区间定位的问题，利用配电网的结构和运行状态，提出一种基于开关有向树型网络描述模型。
A directional tree model based on switches is proposed for fault section locating in distribution network by using system Structure and operation status.
本文提出一种基于特征量化值(区间值，离散值或符号值)的多元分类树的构造方法。
A method for constructing multiway decision tree based on quantized feature values (such as interval values, discrete values and symbolic values) is proposed.
决策者可以对价值树中的目标权重和方案结果进行区间估计，并通过线性规划方法把有关权重区间和方案结果的不完整信息处理为价值区间和控制关系。
The decision maker can enter interval judgements which indicate relative importance of the attributes and the possibly range valued information about the outcomes of the alternatives into value tree.
而再度增大的此参数值（已超出该区间）却会导致树的过度剪枝，使树的测试精度降低。
We also find that a larger value of the parameter over the optimal value mentioned above will lead to over-pruning which may decrease the tree's test accuracy .
树是空间搜索的动态索引树，它的结构是利用多个维中的区间来表示空间数据对象，它是矩形访问的一种有效方法。
R-tree is a dynamic index tree of space search. Its structure use multi-dimensional region to express spatial data object. R-tree is a valid way to visit rectangle.
树是空间搜索的动态索引树，它的结构是利用多个维中的区间来表示空间数据对象，它是矩形访问的一种有效方法。
R-tree is a dynamic index tree of space search. Its structure use multi-dimensional region to express spatial data object. R-tree is a valid way to visit rectangle.
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